Summary
Md Shahiduzzaman S. is a highly skilled software engineer recognized for building scalable full-stack web applications with a strong focus on backend, infrastructure, and platform reliability. He demonstrates expertise in Python, JavaScript, TypeScript, and C++, and is proficient in Django, Django REST Framework, PostgreSQL, Redis, Celery, and ReactJS. His experience extends to NextJS, FFmpeg, WebCodecs API, Material UI, Figma, HTML, CSS, SEO, and WordPress. Shahiduzzaman excels at deploying cloud infrastructure using Docker, RunPod, AWS S3, DigitalOcean Spaces, as well as managing production systems on Linux with Nginx and Gunicorn. He has led key projects such as the Noise Reducer app and Remove.Music web apps, managing cross-platform deployments for web, Android, and iOS, and contributing to a dramatic increase in platform revenue. His skills further include integrating payment systems like PayPal and Stripe, implementing serverless architecture, leveraging OpenAI API, and real-time streaming via SSE. With a proven record in competitive programming, mentorship, UI/UX collaboration, cloud integration, and asynchronous processing using Celery and Celery Beat, Shahiduzzaman is a versatile professional well-versed in both backend and frontend technologies, making him an asset for any development team.
Meet Md S.
Assessment Scores
Good on Find the Length of the Longest Substring Without Repeating Characters, Difficulty Easy
Great on Optimize Product Page Load Time, Difficulty Medium
Great on Sharing Authenticated User Data Across the App, Difficulty Medium
Great on Reverse Digits of a 32-bit Integer, Difficulty Easy
Good on Word Search in Grid, Difficulty Medium
Great on Validate Parentheses in a String, Difficulty Hard
Experience
Inverse.AI
AI/ML
Software Engineer
Full-Time
Aug 2023 — Present
Leading the web team with end-to-end ownership of backend systems, infrastructure, and platform reliability
Developed Noise Reducer & Remove.Music Web Apps (Next.js + Django), contributing to a 30x increase in platform revenue within two years
Experienced in deploying and maintaining production-grade systems on both managed platforms and self-managed cloud servers, ensuring scalability, reliability, and low-latency performance
Deployed ML-powered noise reducer models via Docker on RunPod, creating serverless endpoints, configuring environments, managing error logs, and coordinating with the ML team to ensure stable operations
Integrated AWS S3 and DigitalOcean Spaces for reliable cloud storage solutions, enabling efficient file upload/download across platforms
Integrated PayPal and Stripe for the web platform and implemented RTDN and App Store notifications on Android and iOS to manage balance deductions and credit allocations
Implemented media editing and conversion features using FFmpeg
Utilized Redis for efficient caching mechanisms
Managed asynchronous tasks and scheduled jobs using Celery and Celery Beat
Worked with the OpenAI API, implementing Server-Sent Events (SSE) for real-time message streaming and integrating the File Search API and Vision API for file and image-based interactions
Utilized the WebCodecs API for browser-based video processing
Enhanced user experience with intuitive interface design and responsive web applications
Improved web traffic through basic SEO enhancements on the Noise Reducer frontend, and launched a WordPress blog to further boost organic reach
Mentored junior developers, conducted code reviews, and assisted with onboarding, fostering a collaborative and growth-oriented development culture
Technologies:
Django
Next.js
Docker
AWS S3
DigitalOcean Spaces
PayPal
Stripe
FFmpeg
Redis
Celery
OpenAI API
WebCodecs API
Projects
Built and maintained a scalable backend with Django serving Web, Android, and iOS platforms for upload, process download, feedback, analytics and history features, supporting 150,000+ registered users and handling 4,000+ daily uploads. Contributed to the frontend by integrating APIs, implementing audio processing features with FFmpeg, and building components using Next.js and Material UI; collaborated with the UI/UX team via Figma to ensure responsive and user-friendly design.
EnglishTests.ai is an AI-driven English speaking assessment platform designed to help learners improve their pronunciation, fluency, and reading accuracy through automated speech analysis. The platform provides users with a passage to read aloud or allows them to paste their own text. After reviewing the text, users record themselves reading it and upload the audio file for evaluation. Using advanced machine learning and speech-processing models, the system compares the spoken audio against the reference text and generates a detailed pronunciation assessment. The analysis goes beyond a simple score by identifying pronunciation strengths and weaknesses at multiple levels.
Education
B.Sc. Computer Science
2019 - 2023
International Islamic University Chittagong
Chittagong, Bangladesh
Full Stack Engineer
Available — Has Full-Time Commitment
/Mo
/Hr
Dhaka, Bangladesh
Dhaka (UTC+06:00)
Member since June 29, 2026
Skills & Expertise
Python
React
NextJS
AWS
Database:Relational
SQL
HTML
CSS
WordPress
Git
Figma
C++
Typescript
Javascript
Developer Level
Mid-Senior
3-4 YOEMd S. is mid-senior Level Developer